Meesho Scales E-Commerce Performance with Redis Cloud on GCP

3 months ago 34
  • Published on December 24, 2024
  • In AI News

This shift has helped Meesho scale to serve over 140 million customers and 8,00,000 sellers.

Meesho, one of India’s fastest-growing e-commerce platforms, has moved from Amazon ElastiCache to Redis Cloud on Google Cloud Platform (GCP), Manvinder Singh, VP of AI product management at Redis, announced on Linkedin.

This shift has helped Meesho scale to serve over 140 million customers and 8,00,000 sellers while maintaining fast and reliable performance during peak sales events like Black Friday. 

Siddharth Gupta, a senior manager at Meesho who handles infrastructure, databases, and site reliability engineering (SRE), explained, “Since 2019, our business has grown over 100x. Today, more than 2 million sellers use Meesho, with many customers from tier-2 and tier-3 cities using low-configuration devices. Speed and low latency are essential for our operations.”

Redis Cloud has been a key factor in handling Meesho’s rapid growth and high requests per second (RPS). It ensures low latency and reliability, which are critical for serving India’s dynamic market.

Highlighting the importance of Redis in their success, Siddharth further said, “Redis is our trusted partner for managing this scale. For anyone building an app for the Indian market, I highly recommend Redis for its performance and reliability.”

Redis has always been synonymous with speed like it was the performance database,” Singh had earlier said in an interview with AIM. These capabilities, essential for building next-generation AI agents, address critical pain points like memory, context, and latency.

Singh also told AIM that India was perfectly positioned to lead the Agentic AI charge. “The Indian tech ecosystem is going to play a very critical role in agentic AI,” he predicted while citing companies like Kore AI, which are using Redis as a data platform to power their virtual AI agents.

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Aditi Suresh

I hold a degree in political science, and am interested in how AI and online culture intersect. I can be reached at [email protected]

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